CSCE 5210: Fundamentals of Artificial Intelligence - Fall 2020

Instructor: Paul Tarau, Professor - see my home page for contact info and office hours.

course directory

Grader(s):

contact via Canvas

Midterm exam: Wednesday October 28 (open net)
Final Project: TBD

Description and Objectives: A comprehensive overview of today's AI, with emphasis on Knowledge Representation and Deep Learning. Case studies will provide a hands-on introduction to some popular Deep Learning frameworks and their application to Natural Language Processing.

Syllabus

Introduction to AI as a Research and Application Field

Logic and Knowledge Representation

Basic Concepts of Machine Learning

Fundamentals of Deep Learning

AI tools for Natural Language Processing

Overview of a Few AI Applications

Prerequisites: Coding Experience, Data Structures, Algorithms

Evaluation:

Recommended books:

Software, online, tutorials and related links: